Posts Tagged ‘ Bar chart ’

History of a Chart 4. “This Is The New Flesh”

See also:

—————————————————————————————–

View interactive chart here

We saw from “Where Did All the Rockstars Go?” that todays bands are being outperformed by their heroes from the 70s and 80s. Yet rock still has a significant presence in the charts, so where are these albums coming from.

I decided to have a look at the numbers of different artists in the charts over time.
Whether it’s the advent of the internet and sites like Myspace giving every small wannabe band a chance at success, or the
labels are switching the investment capabilities they have left from a few big artists to many smaller ones, but there are significantly more rock  bands in the charts now than there was in the 70’s.
However, this could be explained by the fact that those 70’s bands still have a presence in the charts today. We need to find out how many unique bands there are in each decade – bands that are appearing in the charts for the first time.

Method

  1. Filter the Data: In order to focus JUST on new bands, and not have figures that incorporated long running bands I performed a filter on the data using Tableau.  Grouping the years into decades and listing the artists that appeared, I was able to filter out the bands that had appeared in the decade before, leaving just unique artists.
  2. Group the data: I also opted to group the years into decades which went someway to dictate the chart style. I took this decision in order to create a simple, hard hitting chart (the impact of the data sometimes gets lots in a busy chart and was not necessary in this case). Had I decided to use full yearly data I would have been better using a line or narrow bar chart without animation or use of a symbol.
  3. Decide on Chart Design: After some variations I settled on a simplified bar chart (so self sufficient that it did not have axes), with stacked symbols, each representing a set number value and distinguished by colour (explained by a very simple key). I decided a simple stack clearly showed the respective values. I kept within the colour themes of the project by showing rock as black, pop as pink and other as grey.
  4. Search for Symbol: I instinctively went for the MAN logo first, as this is an option within Tableau and seemed to sum up the story. However, I also tried the chart with guitar symbol, simple squares, circles and stars. However, I settled on the MAN logo.
  5. Animate: I decided to animate the chart within Flash – with a gradual reveal of each column building  – “pop” first, then “other” then finally “rock”. I felt this gradual “reveal” of the rock category actually increased the impact when it became apparent that rock produced more bands than the other groups. I created the completed chart, and in the same way as History of a Chart 3. “Where Did All the Rockstars Go?”, I imported the chart into Flash and  – over a series of keyframes – removed one “man” at a time. I then reversed the frames to the columns appeared to build.

Evolution

Inspiration:  n/a

Idea: To show the numbers of artists in the charts over time.

Method: I initially drew up a chart simply showing the numbers of bands in the charts, grouped into 1 of 3 categories, “rock”, “pop” and “other” categories. This was to free up the chart from the clutter of the smaller genres that did not significantly impact upon rock and pop.

Why Ditched: The chart clearly shows  a gradual increase in the number of artists over time, explained by artists from earlier years still being active in later years.

Enhanced by Zemanta

History of a Chart 3. “Where Did All the Rockstars Go?”

See also:

—————————————————————————————–

(click to see full interactive chart)

Inspiration: McCandless Vintage Years Red/White Wine

When your dad/uncle/big brother bemoans the state of rock today, saying it’s not what it used to be, have you ever thought they MAY have a point?

Chart data shows that most of the top performing rock bands of the past 40 years were active in the 70s’s, with 2 having major success in the 80s (Queen and Meatloaf) and just one in the 90s (Oasis).

This chart shows that artists were not relying on ONE album to give them chart success, but several – all of which were dominating the charts for months at a time. Simon and Garfunkel had FIVE albums in the charts in 1970. You’d be hard pushed to find a band matching that nowadays.

If musical success is built on a steady career and a large body of work, you have  to wonder who will be the Pink Floyd, Dire Straits and Beatles of the future.

Idea

I wanted to look at the distribution of the top rock bands over time and clearly show when they were active and how successful they were.

Method

  1. Tableau: Starting in Tableau, I placed genre on the Y axis and Year on the X axis, with the entries turned to circles, coloured by scale of Weeks in Chart, we were able to make a clearly shaded chart which immediately shows the highs points. It took a while to get the colour scheme and other settings right – (as you can see below).
  2. Export to Illustrator: Using the Print to PDF option I exported the chart to Illustrator, there I recoloured the circles (the original setting had the middle values as grey and low as black (obviously a fiancial setting) but this was unsuitable for this chart so I switched the black and grey over. I also resized the chart and split the circles into separare items so they could be manipulated and removed in Flash.
  3. Animate: To create the animation, I imported the chart into Flash and inserted keyframes at regular intervals and removed a few of the points each keyframe until the chart was blank. I then reversed the order of the frames to they seemed to appear, not disappear, during the movie clip. I then turned the red points into rollover buttons to show more information. (In retrospect, I wonder if these are entirely necessary, and in fact detract from the finished form)

Evolution

Inspiration: n/a

Idea:  To show when the most successful bands of the past 40 years were active using a bar chart.

Method: I created a bar chart showing the numbers of weeks spent in the charts per year, by the top 10 rock artists of the past 40 years. Marking these by colour, I hoped it would clearly show the peaks over time, and when the majority of artists were successful.  I knew that the colours would overlap, but I hoped that using a cyclical colour scheme would allow the user to get a general idea of timescale.

Why Ditched: Whilst the chart gave a good general overview of  the shape of success over time (the majority of the artists having success in the 70s) it was hard to see the individual artists amounts. The cyclical colour scheme was not enough to give an idea of timescale.

Inspirationcatalogtree 4.0

Idea:  I still wanted to show prominence over time, but switched from artist to album – focussing on the top 20 rock albums over the 40 year period.

I hoped this would be a more engaging chart for the user, who would look for their favourite album and connect with the chart.  By placing them on the Xaxis, in release order, I hoped it would be easier to navigate.

Method:  By listing the albums  on the Y axis and time on the X, I wanted to use differently sized circles to signify chart prominence. As the albums were sorted into release date we get a clear pattern of impact, and i some cases, the “tail”, (i.e. how long the album remained in the charts after release date).

Why Ditched: I felt the “album” idea, although engaging and in a way more emotional for the reader than “artist”, there was no overall message. Yes, it showed the top albums, but would not show artist presence, for example, if an artist appeared twice, etc. This would work as a supplementary chart to one dealing with artist, but not alone. I was also concerned that relying on size of circle, not colour, did not immediately show when the albums were prominent.

Inspiration: N/A

Method: Returning to the idea of artist, I decided to look at all artists, not just rock bands. Finding the top 10 artists and placing them in “overall success” order as opposed to release date, we immediately lose the pleasing pattern, but we can see when the larger bands were successful.I decided to introduce colour to the circles to represent value alongside circle size. We can immediately see where the larger values are found, and which artists they belonged to.

Why Ditched: There was no distinction between POP and ROCK artists, which was the point of the project. With colour representing Value, it would have been difficult to use this distinguish between the different genres. Also, sorting them into overall value was of little interest to the chart, and made it appear cluttered. I also doubted the need for size to represent value, when colour was the more effective indicator.

Enhanced by Zemanta

History of a Chart 1. “Good Times, Bad Times”

See also:

—————————————————————————————–

Inspiration: WorldOfViolence,  Globalize me! : JUNG + WENIG , Nicholas Feltones / Books / Personal
Kurt Kranz Urs Hofer
 , Flags By Colours 

(click to view full interactive chart)

The critics may claim that rock is dead, but there could be life in the electric guitar yet.

We are undeniably in a rock slump, with rock albums performing at their worst for 10 years. However, we saw similar poor showings in the 80s and 90s, and  rock always fought back.

The popularity of prog and folk in the early 1970’s saw rock dominate around 60% of the album charts, but by 1978 disco had forced that down to 43%. However, by the early 80s rock was back on top as the New Wave movement took hold, then to be hit once again by the commercial pop explosion and then, a double drop when house music took hold.

The pattern continues in this way, through the rise of Britpop and the modern successes of Green Day, The Killers and British indie rock bands such as Kaiser Chiefs, with rock always fighting back from a slump with a sudden rise in interest.

With 2010 seeing the worst performance for rock albums in the charts for a decade, are we in one of those slumps now, and is there a new rock craze waiting to revive the genre and take it back to chart glory?

Idea

I had been working through various versions of this chart, using rollover panels to show various sets of information for each year as well as the values for other genres. I decided to split this information into 2 separate charts (see History of a Chart 2. “Rock V The World”) for simplicity.

I wanted to show the highs and lows of the rock scene over the past 40 years, with some specific information – e.g. top selling artists, % of charts as rock, etc. I felt this would be an engaging chart for the user and would hold attention. (Ideally every year would be interactive, not just the highs and lows, but time restricted this).

Method

  1. Within Tableau Desktop I create the basic bar chart (with genre filtered to just rock), with Numbers of Records on the Y axis, and Year on X.

I then put imagined myself in the shoes of the user. What extra information would I like to see on the chart?

I decided to illustrate the most successful artists of each year, the % of rock in charts and a circular date chart showing when rock was at number 1 in the album charts.

The % of chart as rock was created using the Pie chart setting, with colour set to genre (with All genres except rock grouped and coloured as black, and rock set as red), and Angle was Measure Value. With The X axis as Year, this created one pie chart for every year.

To edit, re-colour and manipulate the charts, I selected “Print to PDF”, and opened the PDF in Illustrator, and then in Flash to create the rollover buttons/animation.

Evolution

Below I talk through some of the stages and decisions I made.

Inspiration: The STEM Dilemma,

Idea: Was to create an all encompassing chart for both different genre lines and rock artists. I was also drawn to the idea of the barchart as an industrial skyline, so wanted to create the idea of Smoke emerging from them.

Method: (see History of a Chart 2. for how I created the rollover line chart).

I sourced the top 5 artists per year by using Tableau to filter, calculate and sort the information. The black circles were created in Illustrator, using a simple process – each value had a corresponding, and very simple, size. So, 140 units = 140pixels (sq) in size. I would apply this to all circles, and the key, then resize ALL as necessary to fit the chart. The relation stays the same and the key still works.

Why Ditched: Overly complicated. Errors in data. Style over usability.

Inspiration: McCandless “Media Jungle”

The Idea: A static chart that showed easily the major events and interests in Pop music that kept rock out of the spotlight over time.

The Method: Using Wikipedia and other websites to research this, I placed the major events on “flagpoles” emerging from the barchart. These showed showing key albums, deaths, events to affect music.

Inspirationmusic-family-tree,

Idea: To create a rollover chart showing the various key moments in music. The black area would show the rock highlights, the white, non-rock.

Method: Adding to the data I researched for the above chart, I then created a series of rollover buttons (in Flash CS5) from the YEAR tab, and for the “over” function, showed the information.

Why Ditched: Too cluttered and unclear. Hard to distinguish between Rock and Non-Rock. Space restricted amount of data so each year looked sparse until ALL option was displayed. Users asked if the placement on Y axis was relevant. It wasn’t but the axis suggested it may be.  The text data was also a little vague. I decided to drop the text and switch to numerical data and charts instead.

Enhanced by Zemanta